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matlab和VC++混合编程的详细教程，相信对大家一定会有帮助！(matlab and VC++ mixed programming detailed tutorial, I believe we must help!)

data based for face recognition

超前相位补偿算法超前相位补偿算法超前相位补偿算法超前相位补偿算法(Ahead of the phase compensation algorithm lead phase compensation algorithm lead phase compensation algorithm lead phase compensation algorithm)

假定半波长间隔均匀分布线列布阵的阵元数N=16，若入射平面波为f=62.5Hz的正弦信号，信号持续时间为0.4s， 系统采样频率 =1 KHz,阵列加权为均匀加权，分别给出 a)当平面波信号分别从 0,10,20,30,40,50,60,70,80,90,100度方向入射时，指向90度的波束形成器的输出序列； b)当平面波信号分别从0:1:180度方向入射时，指向90度的波束形成器的输出序列经过平方求和后的分贝数输出（把所有181个输出绘制在同一幅图中)(Assuming N=16, f=62.5, fs=1KHz, uniform weight, and the code gives: a) 90 degree response when incidence angles are: 0: 10: 100 degrees b) 90 degree spectral response when incidence angles are: 0:1:180 degrees )

This file consists the torque vs speed characteristics of induction motor

matlab程序画图，常见分形图，function cantor(A,B) c=1 p=0 figure hold on plot([A(2) B(2)],[A(1) B(1)], r* ) while norm(A(1,:)-B(1,:))>=1 C=[] D=[] for i=1:size(A,1) a=A(i,:)+(B(i,:)-A(i,:))/3 b=A(i,:)+2*(B(i,:)-A(i,:))/3 C=[C A(i,:) b] D=[D a B(i,:)] end A=C B=D p=p+1 (matlab program drawing, common fractal images function cantor(A,B) c=1 p=0 figure hold on plot([A(2) B(2)],[A(1) B(1)], r* ) while norm(A(1,:)-B(1,:))>=1 C=[] D=[] for i=1:size(A,1) a=A(i,:)+(B(i,:)-A(i,:))/3 b=A(i,:)+2*(B(i,:)-A(i,:))/3 C=[C A(i,:) b] D=[D a B(i,:)] end A=C B=D p=p+1 )

包含了各种matlab数字图像处理的小程序 (Contains a variety of digital image processing matlab applet)

Matlab Simulink modal for Stiction ( Data Driven Model)

Digit Recognition for MatLab code

matlab统计函数介绍ppt-包括统计中的基本函数(statistical functions matlab ppt-presentation of the basic functions, including statistical)